# Lead Engineer - AI Studio

**Company:** [GoHighLevel](https://hotfix.jobs/companies/gohighlevel)
**Location:** Remote
**Role:** ML Engineering
**Experience:** 7+ years
**Skills:** Go, Node.js, Nestjs, Postgres, Firestore, Vector Databases, Cloudflare Workers, Cloudflare Kv, Microservices, Prometheus, Grafana, OpenTelemetry, Embeddings, Retrieval-Augmented Generation, Vue
**Posted:** 2026-07-01

> Leads hands-on architecture and implementation for an AI-powered React application builder, including LLM pipelines, distributed backend services, generation systems, and deployment infrastructure. Requires 6+ years of backend engineering experience, strong Go and Node/NestJS skills, and expertise in generative AI, reliability, and scalable systems.

## Job Description

## Responsibilities

### Architecture & Platform Ownership
- Own architecture and scaling decisions for core AI Studio platform components, including the App Generation Engine, React Build & Render Pipeline, Domain & Publishing Pipeline, and AI Content Systems.
- Lead cross-cutting initiatives to improve system responsiveness, generation accuracy, and platform robustness.
- Build scalable, fault-tolerant LLM pipelines for content generation, layout creation, experimentation, and AI-driven user guidance.

### AI & Distributed Systems Engineering
- Build backend services with Go, NestJS, and Node across PostgreSQL, Firestore, vector databases, Cloudflare Workers, and Cloudflare KV.
- Design distributed systems for high-throughput generative and analytical workloads with strong correctness and low latency.
- Build and optimize embeddings pipelines, retrieval-augmented generation (RAG), and multi-agent orchestration frameworks.

### Quality, Observability & Reliability
- Improve observability using Prometheus/Grafana, OpenTelemetry, and structured logging.
- Establish and maintain SLOs for generation latency, correctness, model safety, and system uptime.
- Strengthen resiliency and failover strategies for traffic spikes and model-load variations.

### AI Guardrails, Safety & Tooling
- Implement hallucination-mitigation strategies, including code constraints, structured outputs, model verification layers, retrieval guards, and test scaffolding.
- Enforce data governance, access control, privacy boundaries, and compliance for user-generated data.
- Use LLMs and AI tools to write, test, and debug code while maintaining reliability and consistency standards.

### Technical Leadership & Collaboration
- Mentor engineers through code reviews, design discussions, and pairing.
- Partner with product managers, designers, infrastructure teams, and engineering leaders on roadmap and feature delivery.
- Participate in technical reviews, deep dives, and on-call rotations.

## Requirements

### Core Experience
- 6+ years of backend engineering experience, including distributed system design and high-scale platform development.
- Strong proficiency in Go (Golang), with Node/NestJS experience.
- Experience operating edge/serverless services with Cloudflare Workers and Cloudflare KV, or comparable technologies.
- Experience with event-driven architectures, asynchronous workflows, and high-throughput data pipelines.
- Strong command of relational and NoSQL data models, query optimization, and complex transactional data.
- Experience with LLM integrations, vector search, embeddings, RAG patterns, and generative AI frameworks.
- Familiarity with frontend architecture using Vue and UI/UX principles.

### Operational Excellence
- Experience with production monitoring, alerting, and incident response.
- Strong understanding of scaling, latency optimization, and reliability under real-world load.

### AI & LLM Safety
- Experience implementing structured generation, verification layers, retrieval-based grounding, and guardrails to reduce hallucinations.
- Understanding of prompt engineering, context injection, and model evaluation.

### Soft Skills
- Exceptional communication and cross-functional leadership capabilities.
- Pragmatic decision-making balancing long-term vision with iterative execution.

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